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Phi 3.5 Mini Instruct 4bit by mlx-community

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Phi 3.5 Mini Instruct 4bit is an open-source language model by mlx-community. Features: 597.2m LLM, VRAM: 2.1GB, Context: 128K, License: mit, Quantized, Instruction-Based, LLM Explorer Score: 0.18.

  4bit   Code   Conversational   Custom code   Endpoints compatible   Instruct   Mlx   Multilingual   Phi3   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/Phi-3.5-mini-instruct-4bit 

Phi 3.5 Mini Instruct 4bit Benchmarks

LLME Score: 0.17894
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Phi 3.5 Mini Instruct 4bit (mlx-community/Phi-3.5-mini-instruct-4bit)
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Phi 3.5 Mini Instruct 4bit Parameters and Internals

Model Type 
text-generation
Additional Notes 
The model is part of the transformers library and supports text generation tasks with multilingual capabilities.
Supported Languages 
multilingual (true)
LLM NamePhi 3.5 Mini Instruct 4bit
Repository 🤗https://huggingface.co/mlx-community/Phi-3.5-mini-instruct-4bit 
Model Size597.2m
Required VRAM2.1 GB
Updated2026-04-08
Maintainermlx-community
Model Typephi3
Instruction-BasedYes
Model Files  2.1 GB
Quantization Type4bit
Model ArchitecturePhi3ForCausalLM
Licensemit
Context Length131072
Model Max Length131072
Transformers Version4.43.3
Tokenizer ClassLlamaTokenizer
Padding Token<|end|>
Vocabulary Size32064
Torch Data Typebfloat16

Best Alternatives to Phi 3.5 Mini Instruct 4bit

Best Alternatives
Context / RAM
Downloads
Likes
Phi 4 Mini Instruct 8bit128K / 4.1 GB2975
...hi 3 Medium 128K Instruct 4bit128K / 7.8 GB232
...m 128K Instruct 8.0bpw H8 EXL2128K / 13.4 GB44
...m 128K Instruct 6.0bpw H6 EXL2128K / 10.7 GB83
...dium 128K Instruct 8 0bpw EXL2128K / 13.4 GB01
...m 128K Instruct 3.0bpw H6 EXL2128K / 5.6 GB50
...m 128K Instruct 5.0bpw H6 EXL2128K / 8.9 GB50
Phi 3 Mini 128K Instruct 8bit128K / 4.1 GB5510
...28K Instruct Ov Fp16 Int4 Asym128K / 2.5 GB60
...128K Instruct HQQ 2bit Smashed128K / 1.4 GB80
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/Phi-3.5-mini-instruct-4bit.

Rank the Phi 3.5 Mini Instruct 4bit Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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